There has been a technology revolution in the past five years that has dramatically changed the way organizations design, deploy, and manage data-delivery and analytics systems. Hadoop, NoSQL, and the cloud have ushered in a new era of scale-out, elastic, and real-time computing, while new data preparation, catalogs, and analysis tools, aided by advanced machine learning and search technologies, have radically changed the information supply chain. The traditional world of data warehousing and business intelligence has been flipped upside down. Instead of serial data pipelines of relational data managed, modeled, and batch-loaded exclusively by IT, the modern analytics ecosystem supports multiple, continuous real-time data flows designed by data engineers and data analysts close to the business. The result is an agile, adaptive, self-service environment that fuels data-driven organizations.

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You Will Learn:

\n\n How modern analytics reshapes the consumer world\n How modern analytics reshapes the business world\n Stages and processes of the modern information supply chain\n How to adapt from traditional BI architecture to a modern analytics ecosystem\n Technologies that support the modern analytic ecosystem: data pipeline management, data cataloging, data preparation, and data analysis\n Organizational implications of the modern analytics ecosystem\n\n
DTSTART:20171113T083000
SUMMARY:Designing Adaptable Architecture for a Modern Analytics Ecosystem
DTEND:20171113T115959
LOCATION: See Description
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